Document Type
Article
Language
eng
Format of Original
5 p.
Publication Date
5-2011
Publisher
Springer
Source Publication
Annals of Biomedical Engineering
Source ISSN
0090-6964
Original Item ID
doi: 10.1007/s10439-010-0238-5
Abstract
Computational modeling is often used to quantify hemodynamic alterations induced by stenting, but frequently uses simplified device or vascular representations. Based on a series of Boolean operations, we developed an efficient and robust method for assessing the influence of current and next-generation stents on local hemodynamics and vascular biomechanics quantified by computational fluid dynamics. Stent designs were parameterized to allow easy control over design features including the number, width and circumferential or longitudinal spacing of struts, as well as the implantation diameter and overall length. The approach allowed stents to be automatically regenerated for rapid analysis of the contribution of design features to resulting hemodynamic alterations. The applicability of the method was demonstrated with patient-specific models of a stented coronary artery bifurcation and basilar trunk aneurysm constructed from medical imaging data. In the coronary bifurcation, we analyzed the hemodynamic difference between closed-cell and open-cell stent geometries. We investigated the impact of decreased strut size in stents with a constant porosity for increasing flow stasis within the stented basilar aneurysm model. These examples demonstrate the current method can be used to investigate differences in stent performance in complex vascular beds for a variety of stenting procedures and clinical scenarios.
Recommended Citation
Gundert, Timothy J.; Shadden, Shawn C.; Williams, Andrew R.; Koo, Bon-Kwon; Feinstein, Jeffrey A.; and LaDisa, John F., "A Rapid and Computationally Inexpensive Method to Virtually Implant Current and Next-Generation Stents into Subject-Specific Computational Fluid Dynamics Models" (2011). Biomedical Engineering Faculty Research and Publications. 2.
https://epublications.marquette.edu/bioengin_fac/2
Comments
Accepted version. Annals of Biomedical Engineering, Volume 39, No. 5 (May 2011), DOI. © 2011 Springer. Used with permission.
The original publication is available at www.springerlink.com.
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